Challenges to Mobile Learning in Kindergartens: Perspectives of Female Teachers

With the gradual introduction of Mobile Learning (M-Learning) into kindergarten education, female teachers face multiple challenges in their teaching practice. Existing studies mostly focus on the path of technology integration and neglect the complex situation faced by female teachers in the transformation of teaching methods. To fill this gap, this paper uses Activity Theory as a framework to focus on the challenges faced by female teachers in the implementation of M-Learning in kindergartens.Through in-depth interviews with 18 female kindergarten teachers, NVivo 15 was used to summarize and categorize five themes: Identity Ambiguity, Objective Misalignment, Tool Incompatibility, Policy Constraints, Relational Disconnection and Reconfigured Division of Labor.Each type of challenge reveals the tension between technology application and educational reality. The study found that the challenges experienced by female teachers are not only limited to the tool level, but are also deeply rooted in their professional identity and socio-cultural structure. Starting from the teachers themselves, this paper systematically presents the structural challenges in M-Learning practice and provides theoretical reference and practical support for the formulation of gender-sensitive digital education policies for kindergartens in the future.

Authors

Institutions

Publication Details

Journal
International Journal of Academic Research in Progressive Education and Development
Published
2026-01-28
DOI
https://doi.org/10.6007/ijarped/v15-i1/27495
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges to Mobile Learning in Kindergartens: Perspectives of Female Teachers

Chang Xiaoli
International Journal of Academic Research in Progressive Education and Development
Mobile Learning in Education
article

Challenges to Mobile Learning in Kindergartens: Perspectives of Female Teachers

Chang Xiaoli
article en

Abstract

With the gradual introduction of Mobile Learning (M-Learning) into kindergarten education, female teachers face multiple challenges in their teaching practice. Existing studies mostly focus on the path of technology integration and neglect the complex situation faced by female teachers in the transformation of teaching methods. To fill this gap, this paper uses Activity Theory as a framework to focus on the challenges faced by female teachers in the implementation of M-Learning in kindergartens.Through in-depth interviews with 18 female kindergarten teachers, NVivo 15 was used to summarize and categorize five themes: Identity Ambiguity, Objective Misalignment, Tool Incompatibility, Policy Constraints, Relational Disconnection and Reconfigured Division of Labor.Each type of challenge reveals the tension between technology application and educational reality. The study found that the challenges experienced by female teachers are not only limited to the tool level, but are also deeply rooted in their professional identity and socio-cultural structure. Starting from the teachers themselves, this paper systematically presents the structural challenges in M-Learning practice and provides theoretical reference and practical support for the formulation of gender-sensitive digital education policies for kindergartens in the future.

International Journal of Academic Research in Progressive Education and DevelopmentVol. 15(1)
Public Health Dayton & Montgomery County (US)
Gender equality
Openalex Percentile: Top 83%
Mobile Learning in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.